6 citations · 13 across the 5 of their papers we have counts for
6 papers
Hard-Negative Sampling for Contrastive Learning: Optimal Representation Geometry and Neural- vs Dimensional-Collapse
Ruijie Jiang, Thuan Nguyen, Shuchin Aeron +1
For a widely-studied data model and general loss and sample-hardening functions we prove that the losses of Supervised Contrastive Learning (SCL), Hard-SCL (HSCL), and Unsupervised…
Trade-off between reconstruction loss and feature alignment for domain generalization
Thuan Nguyen, Boyang Lyu, Prakash Ishwar +2
Domain generalization (DG) is a branch of transfer learning that aims to train the learning models on several seen domains and subsequently apply these pre-trained models to other…
VinaFood21: A Novel Dataset for Evaluating Vietnamese Food Recognition
Thuan Trong Nguyen, Thuan Q. Nguyen, Dung Vo +5
Vietnam is such an attractive tourist destination with its stunning and pristine landscapes and its top-rated unique food and drink. Among thousands of Vietnamese dishes, foreigner…
Single-bit Quantization Capacity of Binary-input Continuous-output Channels
Thuan Nguyen, Thinh Nguyen
We consider a channel with discrete binary input X that is corrupted by a given continuous noise to produce a continuous-valued output Y. A quantizer is then used to quantize the c…
On the Uniqueness of Binary Quantizers for Maximizing Mutual Information
Thuan Nguyen, Thinh Nguyen
We consider a channel with a binary input X being corrupted by a continuous-valued noise that results in a continuous-valued output Y. An optimal binary quantizer is used to quanti…
Entropy-Constrained Maximizing Mutual Information Quantization
Thuan Nguyen, Thinh Nguyen
In this paper, we investigate the quantization of the output of a binary input discrete memoryless channel that maximizing the mutual information between the input and the quantize…